Evidence map›Paper›PMID 30962178›Full record

ArticleGenome research2019

Interplay between coding and exonic splicing regulatory sequences.

Nicolas Fontrodona, Fabien Aubé, Jean-Baptiste Claude, Hélène Polvèche, Sébastien Lemaire, Léon-Charles Tranchevent, Laurent Modolo, Franck Mortreux, Cyril F Bourgeois, Didier Auboeuf

Open access · greenAbstract read
In one paragraph

Article in Genome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 18 citations in OpenAlex.

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  11. The effects of codon bias and optimality on mRNA and protein regulation.Cellular and molecular life sciences : CMLS · 2021
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Nicolas Fontrodona *Université Lyon, ENS de Lyon, Université Claude Bernard, CNRS UMR 5239, INSERM U1210, Laboratory of Biology and Modelling of the Cell, F-69007, Lyon, France.
Fabien Aubé *Université Lyon, ENS de Lyon, Université Claude Bernard, CNRS UMR 5239, INSERM U1210, Laboratory of Biology and Modelling of the Cell, F-69007, Lyon, France.
Jean-Baptiste ClaudeUniversité Lyon, ENS de Lyon, Université Claude Bernard, CNRS UMR 5239, INSERM U1210, Laboratory of Biology and Modelling of the Cell, F-69007, Lyon, France.
Hélène PolvècheUniversité Lyon, ENS de Lyon, Université Claude Bernard, CNRS UMR 5239, INSERM U1210, Laboratory of Biology and Modelling of the Cell, F-69007, Lyon, France.
Sébastien LemaireUniversité Lyon, ENS de Lyon, Université Claude Bernard, CNRS UMR 5239, INSERM U1210, Laboratory of Biology and Modelling of the Cell, F-69007, Lyon, France.
Léon-Charles TrancheventProteome and Genome Research Unit, Department of Oncology, Luxembourg Institute of Health (LIH), L-1445 Strassen, Luxembourg.
Laurent ModoloLBMC Biocomputing Center, CNRS UMR 5239, INSERM U1210, F-69007, Lyon, France.
Franck MortreuxUniversité Lyon, ENS de Lyon, Université Claude Bernard, CNRS UMR 5239, INSERM U1210, Laboratory of Biology and Modelling of the Cell, F-69007, Lyon, France.
Cyril F BourgeoisUniversité Lyon, ENS de Lyon, Université Claude Bernard, CNRS UMR 5239, INSERM U1210, Laboratory of Biology and Modelling of the Cell, F-69007, Lyon, France.
Didier AuboeufUniversité Lyon, ENS de Lyon, Université Claude Bernard, CNRS UMR 5239, INSERM U1210, Laboratory of Biology and Modelling of the Cell, F-69007, Lyon, France.
Université Claude Bernard Lyon 1 · FRLuxembourg Institute of Health · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inclusion of exons during the splicing process depends on the binding of splicing factors to short low-complexity regulatory sequences. The relationship between exonic splicing regulatory sequences and coding sequences is still poorly understood. We demonstrate that exons that are coregulated by any given splicing factor share a similar nucleotide composition bias and preferentially code for amino acids with similar physicochemical properties because of the nonrandomness of the genetic code. Indeed, amino acids sharing similar physicochemical properties correspond to codons that have the same nucleotide composition bias. In particular, we uncover that the TRA2A and TRA2B splicing factors that bind to adenine-rich motifs promote the inclusion of adenine-rich exons coding preferentially for hydrophilic amino acids that correspond to adenine-rich codons. SRSF2 that binds guanine/cytosine-rich motifs promotes the inclusion of GC-rich exons coding preferentially for small amino acids, whereas SRSF3 that binds cytosine-rich motifs promotes the inclusion of exons coding preferentially for uncharged amino acids, like serine and threonine that can be phosphorylated. Finally, coregulated exons encoding amino acids with similar physicochemical properties correspond to specific protein features. In conclusion, the regulation of an exon by a splicing factor that relies on the affinity of this factor for specific nucleotide(s) is tightly interconnected with the exon-encoded physicochemical properties. We therefore uncover an unanticipated bidirectional interplay between the splicing regulatory process and its biological functional outcome.

Indexed as

Alternative SplicingAmino AcidsBase CompositionCell LineExonsGenetic CodeHeterogeneous-Nuclear RibonucleoproteinsHumansIntronsNucleotide MotifsRNA Splice SitesRNA Splicing FactorsSequence Analysis, ProteinSequence Analysis, RNASerine-Arginine Splicing FactorsAmino AcidsHeterogeneous-Nuclear RibonucleoproteinsRNA Splice SitesRNA Splicing FactorsSerine-Arginine Splicing Factors

Identifiers

PMID30962178
PMCPMC6499313
OpenAlexW2950749742

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.